Generation of Synthetic Load Profiles of Electric Vehicles Based on Household Activity Profiles
Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES) 2022 ; Paphos, Cyprus ; 06.11.-10.11.2022
Paphos, Cyprus, 2022-11-06
2022-11-06Essay (Conference)OA Green
Faculty of Information, Media and Electrical Engineering » Institute of Electrical Power Engineering
Title:
Generation of Synthetic Load Profiles of Electric Vehicles Based on Household Activity Profiles
Conference
Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES) 2022 ; Paphos, Cyprus ; 06.11.-10.11.2022
Author:
Hotz, ChristianTH Köln
- DHSB-ID
- THK0003805
- Other
- person connected with TH Köln
- DHSB-ID
- THK0001742
- SCOPUS
- 57191583895
- Other
- person connected with TH Köln
- DHSB-ID
- THK0002009
- SCOPUS
- 6602886345
- Other
- person connected with TH Köln
- DHSB-ID
- THK0001568
- SCOPUS
- 14050860600
- Other
- person connected with TH Köln
Place of publication:
Paphos, Cyprus
Date published:
2022-11-06
„Publication Channel“:
OA Green
Language of text:
English
Type of resource:
Text
Access Rights:
open access
Peer Reviewed:
Not Peer Reviewed
Practice Partner:
No
Category:
Research
Part of statistic:
Not part of statistic
Abstract in English:
Sensible numerical simulations require accurate modelling as well as a framework of realistic input data as model backbone. As one component of a comprehensive simulation environment for power systems including e-mobility, this paper describes a sociologically backed approach to an e-vehicle charging load profile generator. It is based on an existing activity-based household load generator, an extensive mobility behaviour report, and state of the art charging technology. A smart grid use case with a simple control algorithm then helps demonstrate the application of such profiles.